Alaaeldin El-Nouby | DeepAI

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∙ 05/09/2023

ImageBind: One Embedding Space To Bind Them All

We present ImageBind, an approach to learn a joint embedding across six ...

0 Rohit Girdhar, et al. ∙

∙ 04/14/2023

DINOv2: Learning Robust Visual Features without Supervision

The recent breakthroughs in natural language processing for model pretra...

1 Maxime Oquab, et al. ∙

∙ 04/10/2023

Are Visual Recognition Models Robust to Image Compression?

Reducing the data footprint of visual content via image compression is e...

0 João Maria Janeiro, et al. ∙

∙ 01/26/2023

Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models

Lossy image compression aims to represent images in as few bits as possi...

0 Matthew J. Muckley, et al. ∙

∙ 12/14/2022

Image Compression with Product Quantized Masked Image Modeling

Recent neural compression methods have been based on the popular hyperpr...

0 Alaaeldin El-Nouby, et al. ∙

∙ 06/16/2022

OmniMAE: Single Model Masked Pretraining on Images and Videos

Transformer-based architectures have become competitive across a variety...

11 Rohit Girdhar, et al. ∙

∙ 03/18/2022

Three things everyone should know about Vision Transformers

After their initial success in natural language processing, transformer ...

21 Hugo Touvron, et al. ∙

∙ 12/27/2021

Augmenting Convolutional networks with attention-based aggregation

We show how to augment any convolutional network with an attention-based...

24 Hugo Touvron, et al. ∙

∙ 12/20/2021

Are Large-scale Datasets Necessary for Self-Supervised Pre-training?

Pre-training models on large scale datasets, like ImageNet, is a standar...

25 Alaaeldin El-Nouby, et al. ∙

∙ 06/17/2021

XCiT: Cross-Covariance Image Transformers

Following their success in natural language processing, transformers hav...

0 Alaaeldin El-Nouby, et al. ∙

∙ 05/07/2021

ResMLP: Feedforward networks for image classification with data-efficient training

We present ResMLP, an architecture built entirely upon multi-layer perce...

43 Hugo Touvron, et al. ∙

∙ 04/02/2021

LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference

We design a family of image classification architectures that optimize t...

0 Ben Graham, et al. ∙

∙ 02/10/2021

Training Vision Transformers for Image Retrieval

Transformers have shown outstanding results for natural language underst...

0 Alaaeldin El-Nouby, et al. ∙

∙ 10/28/2019

Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking

Deep neural networks require collecting and annotating large amounts of ...

12 Alaaeldin El-Nouby, et al. ∙

∙ 11/24/2018

Keep Drawing It: Iterative language-based image generation and editing

Conditional text-to-image generation approaches commonly focus on genera...

0 Alaaeldin El-Nouby, et al. ∙

∙ 02/23/2018

Real-Time End-to-End Action Detection with Two-Stream Networks

Two-stream networks have been very successful for solving the problem of...

0 Alaaeldin El-Nouby, et al. ∙

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